DBMS > Atos Standard Common Repository vs. EJDB vs. Fujitsu Enterprise Postgres vs. JaguarDB

System Properties Comparison Atos Standard Common Repository vs. EJDB vs. Fujitsu Enterprise Postgres vs. JaguarDB

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Editorial information provided by DB-Engines
Name	Atos Standard Common Repository  Xexclude from comparison	EJDB  Xexclude from comparison	Fujitsu Enterprise Postgres  Xexclude from comparison	JaguarDB  Xexclude from comparison
	This system has been discontinued and will be removed from the DB-Engines ranking.
Description	Highly scalable database system, designed for managing session and subscriber data in modern mobile communication networks	Embeddable document-store database library with JSON representation of queries (in MongoDB style)	Enterprise-grade PostgreSQL-based DBMS with security enhancements such as Transparent Data Encryption and Data Masking, plus high-availability and performance improvement features.	Performant, highly scalable DBMS for AI and IoT applications
Primary database model	Document store Key-value store	Document store	Relational DBMS	Key-value store Vector DBMS
Secondary database models			Document store Spatial DBMS
DB-Engines Ranking measures the popularity of database management systems Trend Chart		Score 0.31 Rank #296   Overall #44   Document stores	Score 0.37 Rank #278   Overall #128   Relational DBMS	Score 0.06 Rank #381   Overall #59   Key-value stores #14   Vector DBMS
Website	atos.net/en/convergence-creators/portfolio/standard-common-repository	github.com/­Softmotions/­ejdb	www.postgresql.fastware.com	www.jaguardb.com
Technical documentation		github.com/­Softmotions/­ejdb/­blob/­master/­README.md	www.postgresql.fastware.com/­product-manuals	www.jaguardb.com/­support.html
Developer	Atos Convergence Creators	Softmotions	PostgreSQL Global Development Group, Fujitsu Australia Software Technology	DataJaguar, Inc.
Initial release	2016	2012		2015
Current release	1703		Fujitsu Enterprise Postgres 14, January 2022	3.3 July 2023
License Commercial or Open Source	commercial	Open Source GPLv2	commercial	Open Source GPL V3.0
Cloud-based only Only available as a cloud service	no	no	no	no
DBaaS offerings (sponsored links) Database as a Service Providers of DBaaS offerings, please contact us to be listed.
Implementation language	Java	C	C	C++ the server part. Clients available in other languages
Server operating systems	Linux	server-less	Linux Windows	Linux
Data scheme	Schema and schema-less with LDAP views	schema-free	yes	yes
Typing predefined data types such as float or date	optional	yes string, integer, double, bool, date, object_id	yes	yes
XML support Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.	yes			no
Secondary indexes	yes	no	yes	yes
SQL Support of SQL	no	no	yes	A subset of ANSI SQL is implemented but no views, foreign keys, triggers
APIs and other access methods	LDAP	in-process shared library	ADO.NET JDBC native C library ODBC streaming API for large objects	JDBC ODBC
Supported programming languages	All languages with LDAP bindings	Actionscript C C# C++ Go Java JavaScript (Node.js) Lua Objective-C Pike Python Ruby	.Net C C++ Delphi Java JavaScript (Node.js) Perl PHP Python Tcl	C C++ Go Java JavaScript (Node.js) PHP Python Ruby Scala
Server-side scripts Stored procedures	no	no	user defined functions	no
Triggers	yes	no	yes	no
Partitioning methods Methods for storing different data on different nodes	Sharding cell division	none	partitioning by range, list and by hash	Sharding
Replication methods Methods for redundantly storing data on multiple nodes	yes	none	Source-replica replication	Multi-source replication
MapReduce Offers an API for user-defined Map/Reduce methods		no	no	no
Consistency concepts Methods to ensure consistency in a distributed system	Immediate Consistency or Eventual Consistency depending on configuration		Immediate Consistency	Eventual Consistency
Foreign keys Referential integrity	no	no typically not needed, however similar functionality with collection joins possible	yes	no
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	Atomic execution of specific operations	no	ACID	no
Concurrency Support for concurrent manipulation of data	yes	yes Read/Write Locking	yes, multi-version concurrency control (MVCC)	yes
Durability Support for making data persistent	yes	yes	yes	yes
In-memory capabilities Is there an option to define some or all structures to be held in-memory only.	yes			no
User concepts Access control	LDAP bind authentication	no	fine grained access rights according to SQL-standard	rights management via user accounts
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More resources
	Atos Standard Common Repository	EJDB	Fujitsu Enterprise Postgres	JaguarDB
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